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Microsoft officially announced the release of a new device-side small language model (SLM), Mu, specifically designed for the settings application in Windows 11 to create an intelligent AI agent. This marks a significant breakthrough in localized AI technology within operating system interactions. As a compact and efficient model, Mu runs through deep optimization on the neural processing unit (NPU), providing users with a low-latency, high-privacy natural language interaction experience. AIbase has compiled the highlights and industry impact of Mu, taking you on a journey to explore its features. Mu: Designed Specifically for Windows Settings

ElevenLabs officially launched its new voice-first AI personal assistant, 11ai, marking another major breakthrough in voice AI technology for productivity tools. As a company known for innovative text-to-speech and conversational AI technologies, ElevenLabs' latest release, 11ai, integrates cutting-edge voice interaction features and offers users a highly personalized workflow experience through multi-tool integration and support for customizable MCP (Multi-Channel Protocol). Voice-first, productivity-focused. 11ai is centered around voice interaction.

Microsoft has announced the start of testing a new hands-free feature, "Hey, Copilot!". This feature will enable users to wake up the Copilot application through simple voice commands for voice interaction. The new function is currently being rolled out to some Windows Insider users, provided they update their Copilot application to version 1.25051.10.0 or higher. According to Microsoft's official blog, this hands-free activation

Meta released its new flagship AI model, Maverick, on Saturday. The model ranked second in the LM Arena benchmark. LM Arena is a testing platform that relies on human raters to compare different model outputs and select their preferences. However, several AI researchers quickly discovered that the version of Maverick deployed to LM Arena appears significantly different from the version widely used by developers. Meta acknowledged in its announcement that the Maverick on LM Arena is an experimental version.

Ces lunettes intelligentes à véritable IA adopteront une architecture à double puce et intégreront un appareil photo dont les performances devraient rivaliser avec celles des Meta Ray-Ban. Elles pourront non seulement percevoir le monde réel grâce à leur objectif, mais aussi proposer une expérience interactive riche et variée grâce à l’IA. Par exemple, les utilisateurs pourront identifier des objets, reconnaître automatiquement les restaurants et obtenir instantanément des informations pratiques telles que les prix et les notes, une fonctionnalité similaire au système de vision intelligent d’Apple.

OpenAI is experiencing unprecedented demand, with revenue projected to reach $12.7 billion by 2025, more than double its $3.7 billion in 2023. The company's optimistic forecast extends beyond that, with projections exceeding $29.4 billion in revenue the following year. Since the launch of its ChatGPT chatbot, OpenAI has seen explosive growth and widespread adoption of its products. The company's rollout of various subscription services over the past two years has significantly contributed to this success.

According to CCTV News, the Beijing Municipal Commission of Education announced that it will focus on developing 11 AI application scenarios in primary and secondary schools this year and launch the cultivation of 7 'Jingwa' AI assistants. The aim is to empower the five-in-one integrated education system with AI technology, promoting personalized and diversified student development. These application scenarios cover AI teaching assistants for intelligent lesson preparation, intelligent classroom quality monitoring, and smart homework/question setting; AI learning assistants for intelligent error analysis and resource recommendation, autonomous writing correction, and foreign language learning assistance; AI parenting assistants for smart sports and mental health assistance; and AI assessment assistants for...

Recently, MedBench, a well-known domestic medical large language model evaluation platform, released its latest rankings. Ant Group's medical team's self-developed medical large language model achieved outstanding performance, winning first place in both the evaluation and self-test rankings with high scores of 97.5 and 98.2 respectively, attracting widespread attention from the industry. The success of Ant Group's medical large language model is inseparable from the team's continuous efforts in researching and developing medical reasoning models. The team recently adopted reinforcement learning technology to create a new generation of medical reasoning models. This innovation has enabled the model to...

Recently, Amazon's cloud computing division, Amazon Web Services (AWS), announced plans to invest 'at least' $11 billion in Georgia to expand its infrastructure to support the development of various cloud computing and artificial intelligence technologies. This investment is expected to create approximately 550 jobs in the state. AWS stated in a press release: 'We are proud to be able to expand our operations in Georgia, which will help advance next-generation frontier technologies, such as artificial intelligence. We appreciate the support from state and local leaders and look forward to working with Georgia.'

In the field of artificial intelligence, ByteDance is ramping up investments at an astonishing pace. According to the latest report from Zheshang Securities, ByteDance's capital expenditure on AI will reach 80 billion yuan in 2024, nearly equaling the total of the three giants Baidu, Alibaba, and Tencent. It is expected that by 2025, this figure will double to 160 billion yuan, with 90 billion yuan allocated for AI computing power and 70 billion yuan for data center infrastructure and networking equipment. This investment scale not only demonstrates ByteDance's ambition in the AI sector but also foretells a new development phase for China's AI industry.